library(htmltools) ## HTML()
library(dplyr)
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
library(dtplyr)
library(data.table)
##
## Attaching package: 'data.table'
## The following objects are masked from 'package:dplyr':
##
## between, first, last
library(magrittr)
library(scales)
library(grattanCharts) # devtools::install_github('hughparsonage/grattanCharts')
##
## Attaching package: 'grattanCharts'
## The following object is masked from 'package:datasets':
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## Orange
library(grattan)
library(rvest)
## Loading required package: xml2
library(xml2)
library(httr)
library(leaflet)
library(ASGS)
## Loading required package: rgdal
## Loading required package: sp
## rgdal: version: 1.2-7, (SVN revision 660)
## Geospatial Data Abstraction Library extensions to R successfully loaded
## Loaded GDAL runtime: GDAL 2.0.1, released 2015/09/15
## Path to GDAL shared files: C:/Users/hughp/Documents/R/win-library/3.4/rgdal/gdal
## Loaded PROJ.4 runtime: Rel. 4.9.2, 08 September 2015, [PJ_VERSION: 492]
## Path to PROJ.4 shared files: C:/Users/hughp/Documents/R/win-library/3.4/rgdal/proj
## Linking to sp version: 1.2-4
##
## Attaching package: 'rgdal'
## The following object is masked from 'package:grattan':
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## project
Repayment_stress_by_SA2 <-
fread("~/Data/ABS/Mortgage-payment-stress.csv", na.strings = "--") %>%
.[`Mortgage monthly repayments` == "Households with mortgage repayments greater than 30% of household income"] %>%
setorderv("%") %>%
setnames("%", "Prop_geq_30pc") %>%
.[SA2016_decoder, on = c("Suburb==SA2_NAME16")] %>%
select(SA2_MAIN16, Prop_geq_30pc) %>%
mutate(SA2_MAIN16 = factor(SA2_MAIN16))
SA2_2016_join <- SA2_2016
SA2_2016_join@data <-
inner_join(SA2_2016_join@data, Repayment_stress_by_SA2, by = "SA2_MAIN16")
## Warning in inner_join_impl(x, y, by$x, by$y, suffix$x, suffix$y): joining
## factors with different levels, coercing to character vector
pal_v <- colorNumeric(palette = gpal(7, reverse = TRUE),
domain = NULL)
## I'm going off-piste: The Palette Of Nine is thine. May John have mercy on your soul.
SA2_2016_simple %>%
leaflet %>%
addPolygons(stroke = TRUE,
opacity = 1,
weight = 1, # the border thickness / pixels
color = "black",
fillColor = ~pal_v(SA2_2016_join@data$Prop_geq_30pc),
fillOpacity = 1,
label = lapply(paste0("<b>",
SA2_2016_join@data$SA2_NAME16, ":",
"</b><br>",
SA2_2016_join@data$Prop_geq_30pc,
"%"),
HTML),
highlightOptions = highlightOptions(weight = 2,
color = "white",
opacity = 1,
dashArray = "",
bringToFront = TRUE)) %>%
addLegend(pal = pal_v,
opacity = 1,
values = ~SA2_2016_join@data$Prop_geq_30pc,
labFormat = labelFormat(suffix = "%"),
title = "% households under mortgage stress")